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KALISETTI CHAKRAVARDHAN NAIDU

Final-Year CS Student @ VIT | Full-Stack Developer (MERN) | AI/ML Engineer | AWS & OCI Certified | Open to SDE, Full-Stack & ML Roles

Vellore

< 1 year of work experience

May 20244 mosAug 2024

Remote

• Designed and developed scalable backend services using Node.js and Express.js, supporting 5,000+ daily API requests with modular, service-oriented architecture. • Improved REST API response time by 35% by optimizing asynchronous request handling and implementing efficient middleware pipelines. • Designed and indexed MongoDB schemas to handle high-frequency healthcare data and support complex aggregation queries. • Automated CI/CD workflows using Git and environment-based configuration management, reducing deployment errors by 40%. • Collaborated in a fully remote Agile team, delivering production-ready features across multiple sprint cycles with code reviews and documentation.

KALISETTI’s AI Stack

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Education

Vellore Institute of Technology

Bachelor of Technology (B.Tech), Computer Science and Engineering (CSE) - IoT

Vellore Institute of Technology

20224 yrs2026

Intermediate (Class XII), Mathematics, Physics, Chemistry (MPC)

Narayana Junior College - India

20202 yrs2022

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Headline

Final-Year CS Student @ VIT | Full-Stack Developer (MERN) | AI/ML Engineer | AWS & OCI Certified | Open to SDE, Full-Stack & ML Roles

About

Final-year B.Tech CSE (IoT) student at VIT Vellore (CGPA: 8.33), actively seeking SDE, Full-Stack, or AI/ML roles for 2026. I build production-grade web systems and deploy intelligent ML applications end-to-end. 🔧 Tech Stack: • Backend: Node.js, Express.js, Flask, Django, REST APIs • Frontend: React.js, JavaScript (ES6+) • Databases: MongoDB, PostgreSQL, MySQL • AI/ML: Python, PyTorch, CNNs, NLP (DistilBERT, RoBERTa), Scikit-learn • Cloud & DevOps: AWS (EC2, S3, Lambda), Docker, CI/CD, Git 💼 Experience: Full Stack Developer Intern at a Remote Tech Startup (May–Aug 2024) • Built backend services handling 5,000+ daily API requests using Node.js & Express.js • Improved REST API response time by 35% through async optimization • Reduced deployment errors by 40% via CI/CD automation with Git 🚀 Notable Projects: • COVID-19 Detection AI — Xception CNN, 83% accuracy, deployed on AWS EC2 via Docker • House Price Prediction — Hybrid ML + NLP model, R² = 0.859 (DistilBERT + ElasticNet) • Hospital Management System — Secure RBAC web app with JWT authentication 🏆 Certifications: • AWS Certified Solutions Architect – Associate • Oracle Cloud Infrastructure 2025 Generative AI Professional • Oracle Cloud Infrastructure Certified Foundations Associate Let's connect — open to internships, full-time SDE/ML roles, and project collaborations!

Location

Vellore

AI stack

antigravity

claude code

codex

hugging face

langgraph

notebooklm

Work experience

Full Stack Developer Intern at Healthcare SaaS startup, May 2024 - Aug 2024 · 4 mos, Remote, • Designed and developed scalable backend services using Node.js and Express.js, supporting 5,000+ daily API requests with modular, service-oriented architecture. • Improved REST API response time by 35% by optimizing asynchronous request handling and implementing efficient middleware pipelines. • Designed and indexed MongoDB schemas to handle high-frequency healthcare data and support complex aggregation queries. • Automated CI/CD workflows using Git and environment-based configuration management, reducing deployment errors by 40%. • Collaborated in a fully remote Agile team, delivering production-ready features across multiple sprint cycles with code reviews and documentation.

Education

Bachelor of Technology (B.Tech), Computer Science and Engineering (CSE) - IoT, Vellore Institute of Technology

Intermediate (Class XII), Mathematics, Physics, Chemistry (MPC), Narayana Junior College - India

KALISETTI CHAKRAVARDHAN NAIDU - Full Stack Developer Intern in Vellore | Tal